--- license: apache-2.0 base_model: google/mt5-small tags: - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-samsum_2 results: [] --- # mt5-small-samsum_2 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 9.5910 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | No log | 1.0 | 14 | 16.7951 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 2.0 | 28 | 13.8430 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 3.0 | 42 | 11.8751 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 4.0 | 56 | 10.2458 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 5.0 | 70 | 9.5910 | 0.0 | 0.0 | 0.0 | 0.0 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1